MANTECH seeks a motivated, career, and customer-oriented
Data Engineer for a new initiative within the National Capital Region. This effort supports the rapid design, deployment, operation, and sustainment of enterprise-scale AI, data, and mission platform capabilities across a cloud, edge, and classified operational environment
This role supports enterprise data ingestion, transformation, governance, and analytics pipeline development. You will ensure that data is AI-ready and optimized for operational deployment across the platform.
Responsibilities Include But Are Not Limited To
- Design and implement solutions for distributed data processing and streaming architectures.
- Develop and maintain AI-ready data pipelines and capabilities for multi-source data fusion.
- Establish and manage processes for data lineage, metadata management, and data governance.
- Contribute to the implementation and optimization of the Enterprise Data Layer.
- Build data services using technologies like Spark, Kafka, Trino, and Iceberg for large-scale transformation.
Minimum Qualifications
- Bachelor’s degree in Data Science, Engineering, Computer Science, or a related technical field.
- 4 or more years of experience in data engineering, ETL/ELT pipeline development, or streaming architectures.
- Expertise in distributed processing frameworks (e.g., Spark) and data warehousing concepts.
- Demonstrated proficiency in SQL and Python for advanced data manipulation and scripting.
- Experience with data quality assurance, governance, and preparing data for AI/ML models.
Preferred Qualifications
- Hands-on experience with emerging data technologies like ClickHouse, Iceberg, and/or OpenSearch.
- Familiarity with streaming platforms such as Kafka or Trino.
- Prior experience supporting Intelligence Community data management initiatives.
Clearance Requirements
- For onsite work, a TS/SCI clearance with polygraph will be required.
Physical Requirements
- The person in this position must be able to remain in a stationary position 50% of the time.
- Frequently communicates with co-workers, management, and customers, which may involve delivering presentations.
- Constantly operates a computer and other office productivity machinery.
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